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Parameter inference in small world network disease models with approximate Bayesian Computational methods
Small world network models have been effective in capturing the variable behaviour of reported case data of the SARS coronavirus outbreak in Hong Kong during 2003. Simulations of these models have previously been realized using informed “guesses” of the proposed model parameters and tested for consi...
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| Publicado no: | Physica A |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier B.V.
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7126433/ https://ncbi.nlm.nih.gov/pubmed/32288082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.physa.2009.09.053 |
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